Model Validation - Credit Risk (DRG)

Porto, Porto, Portugal

Natixis in Portugal

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Company Description

Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide.

Natixis in Portugal is part of the Global Financial Services division, where it applies technology for the development of financial expertise in its two global business lines – Corporate & Investment Banking and Asset & Wealth Management – and, transversally, for the entities of Groupe BPCE.

The Centre of Expertise, based in Porto, currently has more than 2,400 employees from over 30 nationalities, organised in three main departments: Information Technology, Banking Support Activities and Compliance. These teams work in an integrated, inclusive and transversal way, supporting and creating value for all the business lines and platforms of the group. The project in Porto is one of the biggest investments in Human Resources ever made by Groupe BPCE worldwide.

A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem.

In 2024, Top Employers Institute has awarded Natixis in Portugal the Top Employer Portugal accreditation for the second time. This certification recognizes excellence in people practices, following the example of our head office, in France, who was certified Top Employer France for the eight year in a row.

Job Description

Within the Model Risk Management (MRM) department the Credit Risk & Non-Financial Model Validation teams are organized into four teams: Regulatory Credit Risk & Scoring Model Validation, IFRS9 and Credit Stress Test Model Validation, ALM Model Validation, and Compliance & Non-Financial Risk Model Validation. The Regulatory Credit Risk & Scoring Model Validation team is looking for a Quantitative Analyst to validate models for IRB credit model validation. 

The collaborator will be tasked with validating models in the Non Retail Credit Risk Model Validation domain. The responsibilities associated with this validation process include:

  • Evaluating the risk dimensions of models (including data, methodology, performance, monitoring, usage, and documentation);
  • Preparing a validation report and presenting findings to the validation committee;
  • Monitoring the implementation of recommendations designed to enhance the models;
  • Conducting oversight of regulatory and methodological developments. 

Qualifications

  • Master's degree in a quantitative field.
  • Prior experience, at least 3 years, in credit risk modeling or validation within the banking sector is necessary.
  • Familiarity with the regulatory landscape and texts related to risks including (NDOD, Basel IV, EBA Guidelines, CRR/CRD, Collateral eligibility, ECB Guide to Internal Models);
  • Understanding of modeling techniques (including statistics, economics, machine learning algorithms, etc.);
  • Expertise in programming languages such as Python, SQL, and R;
  • Expertise in Microsoft Office applications (Excel, PowerPoint, Word);
  • Excellent writing skills and capacity for synthesizing complex information;
  • Advanced written and spoken English and French as a plus.

Soft Skills: 

  • Ability to work independently;
  • Attention to detail;
  • Proactive mindset;
  • Excellent interpersonal communication;
  • Competence in written communication.

We will only consider English Cv's.

Additional Information

At Natixis, we are committed to fostering a working environment where each and every one of our people is treated with dignity and respect and where every voice is heard. Our differences make us collectively stronger and are a source of fulfilment, innovation and performance.

In the framework of its Diversity, Equity & Inclusion policy, Natixis in Portugal has implemented a Blind CV Screening process, with the purpose of reducing hiring bias. A blind CV excludes any personal details which refer to the applicant’s gender, age or ethnicity. When applying for our positions, please submit a blind CV, that is, with no picture, name, gender, age, nationality, ethnicity and address. Your personal statement, work experience, courses and certifications, education, skills and contact information is what matters to us.

#MuchMoreThanJustAJob

Early morning. Campo 24 de Agosto. In 4 minutes, you are clocking in at the office. Start your day having breakfast with the Team and grab fresh fruit on the way to your seat, in one of Porto’s most typical neighborhoods. This Purple Day is going to be a busy one: daily meeting ensuring all team members are on the same page regarding work status, priorities and blockers, language class and, just after, a Talent Management meeting with your manager, discussing your career path. 

 Lunch break. Today, your Team is onboarding newcomers, but also welcoming French colleagues: the perfect excuse to walk downtown and bond over a francesinha. When returning, inhale nature and peace of mind in Natixis Urban Garden (look at the crops; ready to harvest!). 

 Back inside. Brainstorming session on a new, exciting project in our disruptive and immersive Manaus Village. The afternoon went flying (tasks, meetings, some jokes with your teammates). End it on a high note: celebrating cultural diversity with a Diwali, the Indian festival of lights. 

 Tomorrow, you attend a conference led by influential speakers in your industry and, the day after, you will work from home, benefitting from some focus time to complete that report and soft skills course on LinkedIn Learning. Once you are done with your work for the day, strike the right note playing with Natixis band or be part of a board games session. If that is too steady for you, meet your colleagues to catch some waves or sail the Douro river during golden hour. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Credit risk Economics Excel Machine Learning Python R SQL Statistics

Perks/benefits: Career development

Region: Europe
Country: Portugal

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